A free online tool to help healthcare workers quickly recognise COVID-19 in patients and identify potentially life-threatening cases was launched by The University of Sydney spinoff DetectEd-X in March this year.
CovED is an educational tool that shows a clinician images from a patient’s computer tomography (CT) lung scan and assesses how well the clinician then diagnoses the patient. The clinicians receive immediate feedback on their performance, along with images showing any errors in their virtual diagnosis.
The CT scans produce images within minutes and are also able to diagnose COVID-19 in the very early stages that escape detection with the nucleic acid tests.
The tool can be accessed anywhere with an internet connection. It is anticipated it could help upskill staff who are unfamiliar with lung radiology to prepare standardised reports for experts to review – ultimately helping doctors and radiologists to diagnose cases faster and more accurately.
“Our platform does not replace expert medical and radiological training but CovED provides an effective way to recognise rapidly the appearances of COVID-19, which could be critical in a situation of too many patients and not enough expert radiologists, with the modules taking just 1-2 hours to complete,” said Professor Brennan, of The University of Sydney School of Health Sciences, Faculty of Medicine and Health
CovED is truly an international collaboration of experts in the field including from The University of Sydney School of Medicine and Charles Perkins Centre, Royal Prince Alfred Hospital, Alfred Imaging Group, Lungscreen Australia and Epworth HealthCare, along with Italian partners at the National Institute for Infectious Diseases in Rome.